TY - JOUR
T1 - VIGILANTE
T2 - Automatic Target Recognition VII
AU - Udomkesmalee, Suraphol
AU - Thakoor, Anilkumar P.
AU - Padgett, Curtis W.
AU - Daud, Taher
AU - Fang, Wai-Chi
AU - Suddarth, Steven C.
PY - 1997/12/1
Y1 - 1997/12/1
N2 - VIGILANTE consists of two major components: (1) the viewing image/gimballed instrumentation laboratory (VIGIL) - advanced infrared, visible, and ultraviolet sensors with appropriate optics and camera electronics; (2) the analog neural three- dimensional processing experiment (ANTE) - a massively parallel, neural network-based, high-speed processor. The powerful combination of VIGIL and ANTE will provide real-time target recognition/tracking capability suitable for ballistic missile defense organization (BMDO) applications as well as a host of other civil and military uses. In this paper, we describe VIGILANTE and its application to typical automatic target recognition (ATR) applications (e.g., aircraft/missile detection, classification, and tracking), this includes a discussion of the VIGILANTE architecture with its unusual blend of experimental 3D electronic circuitry, custom design and commercial parallel processing components, as well as VIGILANTE's ability to handle a wide variety of algorithms which make extensive use of convolutions and neural networks. Our paper also presents examples and numerical results.
AB - VIGILANTE consists of two major components: (1) the viewing image/gimballed instrumentation laboratory (VIGIL) - advanced infrared, visible, and ultraviolet sensors with appropriate optics and camera electronics; (2) the analog neural three- dimensional processing experiment (ANTE) - a massively parallel, neural network-based, high-speed processor. The powerful combination of VIGIL and ANTE will provide real-time target recognition/tracking capability suitable for ballistic missile defense organization (BMDO) applications as well as a host of other civil and military uses. In this paper, we describe VIGILANTE and its application to typical automatic target recognition (ATR) applications (e.g., aircraft/missile detection, classification, and tracking), this includes a discussion of the VIGILANTE architecture with its unusual blend of experimental 3D electronic circuitry, custom design and commercial parallel processing components, as well as VIGILANTE's ability to handle a wide variety of algorithms which make extensive use of convolutions and neural networks. Our paper also presents examples and numerical results.
KW - Automatic target recognition
KW - Multispectral sensors
KW - Neural processor
KW - System architecture
UR - http://www.scopus.com/inward/record.url?scp=35248892237&partnerID=8YFLogxK
U2 - 10.1117/12.277145
DO - 10.1117/12.277145
M3 - Conference article
AN - SCOPUS:35248892237
SN - 0277-786X
VL - 3069
SP - 82
EP - 93
JO - Proceedings of SPIE - The International Society for Optical Engineering
JF - Proceedings of SPIE - The International Society for Optical Engineering
Y2 - 22 April 1997 through 22 April 1997
ER -